Sebastiano De Fiore
Papers
7
Total Citations
79
H-Index
4
About
Sebastiano De Fiore is a researcher working at the intersection of nonlinear dynamical systems, biologically inspired robotics, and computational neuroscience. His work centers on developing innovative navigation and perception frameworks for autonomous robots, drawing inspiration from both chaotic systems theory and insect neural architectures. De Fiore's most influential contribution involves the application of multiscroll chaotic systems to robot navigation, with his 2007 paper on reactive navigation through multiscroll systems garnering 28 citations — demonstrating real-world viability of chaos-based control. Building on this foundation, he pioneered perception-action mapping techniques that embed perceptual states within chaotic attractors, enabling robots to associate sensory stimuli with dynamic behavioral responses. A distinctive thread in his research is bio-inspired learning: his 2010 work on insect-inspired unsupervised learning employs Spike Timing Dependent Plasticity (STDP) in spiking neural networks to enable robots to develop tactic and phobic behaviors autonomously. He has also contributed to Cellular Nonlinear Networks as computational models for emergent perception, and played a role in the European SPARK and SPARK II projects, integrating vision systems into roving robots for real-time action-oriented perception. His body of work bridges theoretical neuroscience and practical robotics implementation.
Research Focus
Key Achievements
Top Papers
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- 6Perception for Action in Roving Robots: A Dynamical System Approach2 citations · 2009
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